342 search results - page 34 / 69 » Higher order learning with graphs |
109
Voted
ICDM
2005
IEEE
15 years 9 months ago
2005
IEEE
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
136
Voted
DMIN
2007
15 years 5 months ago
2007
- The classifier built from a data set with a highly skewed class distribution generally predicts the more frequently occurring classes much more often than the infrequently occurr...
148
Voted
UAI
1996
15 years 5 months ago
1996
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
135
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ICDM
2008
IEEE
15 years 10 months ago
2008
IEEE
In this work, we study the problem of within-network relational learning and inference, where models are learned on a partially labeled relational dataset and then are applied to ...
139
Voted
ACL
2012
13 years 6 months ago
2012
We present a joint model for Chinese word segmentation and new word detection. We present high dimensional new features, including word-based features and enriched edge (label-tra...